mariceslia

drl-zh

Deep Reinforcement Learning: Zero to Hero!

ml-engineering

Machine Learning Engineering Open Book

marimo

A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

ibis

the portable Python dataframe library

kronform

Public configuration for Kubernetes cluster hosted with Hetzner.

jquants-api-sample

J-Quants-Tutorial

J-Quants-Tutorial

the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

outlines

Structured Text Generation

next-sitemap

Sitemap generator for next.js. Generate sitemap(s) and robots.txt for all static/pre-rendered/dynamic/server-side pages.

BanditPAM

BanditPAM C++ implementation and Python package

langchain

🦜🔗 Build context-aware reasoning applications

RWKV-LM

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

the-algorithm

Source code for Twitter's Recommendation Algorithm

hnswlib

Header-only C++/python library for fast approximate nearest neighbors

cursor

The AI Code Editor

zero123

Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)

ruff

An extremely fast Python linter and code formatter, written in Rust.

simdjson

Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks

asdf

Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more

Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

FlexGen

Running large language models on a single GPU for throughput-oriented scenarios.

prompt-engine

A library for helping developers craft prompts for Large Language Models

evidently

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

driftdb

A real-time data backend for browser-based applications.

GraphGPT

Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

tuning_playbook_ja

ディープラーニングモデルの性能を体系的に最大化するためのプレイブック

backend-GPT

runlike

Given an existing docker container, prints the command line necessary to run a copy of it.